ML Data Infra Engineer: Scale AI for Drone Inspection

Flyability; Lavamünd; Hybrid; EUR 95.000 - 137.000; Vollzeit

Benefits dieser Stelle

Remote work up to 2 days/week

Ski weekend

Gym discounts

Swibeco benefits

Team events

Zusammenfassung

Flyability in Lausanne seeks an ML/Data Infrastructure Engineer to build and operate the data and ML infrastructure powering Elios, the world’s first collision-tolerant indoor drone. You will own data pipelines, labeling workflows, training orchestration, and model deployment, collaborating with Spatial AI and Cloud Platform engineers.

You will transform growing datasets into structured, versioned ML assets, enabling faster experimentation and reliable model delivery across the autonomous

Qualifikationen

• 3+ years of experience in data engineering, MLOps, ML infrastructure, or related software engineering.
• Strong Python and software engineering skills, with experience building production-grade systems.
• Hands-on experience with data storage, databases, and data processing.
• Practical experience with AWS, particularly S3 and cloud-based compute and storage.
• Experience with ML lifecycle components including versioning, tracking, training, or CI/CD.
• Experience with ML datasets, labeling, curation, and data quality.
• Knowledge of Docker, CI/CD, workflow orchestration, or infrastructure-as-code.
• Strong ownership and problem-solving skills; able to take an ambiguous problem to production.
• Proficiency in English; French is a plus.

Aufgaben

• Own data pools and datasets from ingesting raw data to curation and versioning for training and evaluation.
• Host in-house labeling tools and manage annotation workflows with internal and external partners.
• Automate and maintain ML training, evaluation, experiment tracking, and reproducibility.
• Build tooling to move models from training to deployment and monitor performance.
• Provide ML developer platform tools and documentation for Spatial AI engineers, collaborating with Cloud Platform teams.
• Monitor production data, feedback loops, and failure cases to improve ML workflows.

Kenntnisse

Python

Data engineering

AWS (S3)

CI/CD

Docker

ML lifecycle

Data storage

Versioning

English

Architecture

Tools

Docker

CI/CD tooling

Workflow orchestration

Infrastructure as code

Jobbeschreibung

Flyability in Lausanne seeks an ML/Data Infrastructure Engineer to build and operate the data and ML infrastructure powering Elios, the world’s first collision-tolerant indoor drone. You will own data pipelines, labeling workflows, training orchestration, and model deployment, collaborating with Spatial AI and Cloud Platform engineers.

You will transform growing datasets into structured, versioned ML assets, enabling faster experimentation and reliable model delivery across the autonomous